TY - JOUR
T1 - WHAT EXPLAINS THE DIFFERENCE IN THE EFFECT OF RETIREMENT ON HEALTH? EVIDENCE FROM GLOBAL AGING DATA
AU - Nishimura, Yoshinori
AU - Oikawa, Masato
AU - Motegi, Hiroyuki
N1 - Funding Information:
The HRS (Health and Retirement Study) is sponsored by the National Institute on Aging (grant number NIA U01AG009740) and is conducted by the University of Michigan.
Funding Information:
This paper uses data from SHARE Waves 1, 2, 3 (SHARELIFE), 4 and 5 (DOIs: 10.6103/SHARE.w1.260, 10.6103/SHARE.w2.260, 10.6103/SHARE.w3.100, 10.6103/SHARE.w4.111, 10.6103/ SHARE.w5.100), see Börsch-Supan et al. (2013) for methodological details. The SHARE data collection has been primarily funded by the European Commission through FP5 (QLK6-CT-2001-00360), FP6 (SHARE-I3: RII-CT-2006-062193, COMPARE: CIT5-CT-2005-028857, SHARELIFE: CIT4-CT-2006-028812) and FP7 (SHARE-PREP: N211909, SHARE-LEAP: N227822, SHARE M4: N261982). Additional funding from the German Ministry of Education and Research, the U.S. National Institute on Aging (U01 AG09740-13S2, P01 AG00 5842, P01 AG08291, P30 AG12815, R21 AG025169, Y1-AG-4553-01, IAG BSR06-11, OGHA 04-064$) and from various national funding sources is gratefully acknowledged (see http://www.share-project.org).
Funding Information:
The authors would like to thank the anonymous referee for the valuable comments. We also would like to thank Eric Bonsang, Gang Chen, Terence Cheng, Denise Doiron, Konan Hara, Tomohiro Hara, Kosuke Hirose, Toshiaki Iizuka, Jose Iparraguirre, Shiko Maruyama, Asako Ohinata for helpful comments. We sincerely thank Stefanie Behncke, Dhaval Dave, and Mathilde Godard for giving advice and computer codes. We also would like to thank the seminar participants at the 8th Australasian Workshop on Econometrics and Health Economics, the 6th Biennial Conference of the American Society of Health Economists and the EuHEA conference 2016 for helpful comments. This work was supported by the JSPS under Grant number 15H05692. We are responsible for all errors and interpretations. The HRS (Health and Retirement Study) is sponsored by the National Institute on Aging (grant number NIA U01AG009740) and is conducted by the University of Michigan. The ELSA (English Longitudinal Study of Ageing) is funded by the US National Institute on Ageing and a consortium of UK government departments coordinated by the Office for National Statistics. This paper uses data from SHARE Waves 1, 2, 3 (SHARELIFE), 4 and 5 (DOIs: 10.6103/SHARE.w1.260, 10.6103/SHARE.w2.260, 10.6103/SHARE.w3.100, 10.6103/SHARE.w4.111, 10.6103/ SHARE.w5.100), see B?rsch-Supan et?al. (2013) for methodological details. The SHARE data collection has been primarily funded by the European Commission through FP5 (QLK6-CT-2001-00360), FP6 (SHARE-I3: RII-CT-2006-062193, COMPARE: CIT5-CT-2005-028857, SHARELIFE: CIT4-CT-2006-028812) and FP7 (SHARE-PREP: N211909, SHARE-LEAP: N227822, SHARE M4: N261982). Additional funding from the German Ministry of Education and Research, the U.S. National Institute on Aging (U01_AG09740-13S2, P01_AG00 5842, P01_AG08291, P30_AG12815, R21_AG025169, Y1-AG-4553-01, IAG_BSR06-11, OGHA_04-064$) and from various national funding sources is gratefully acknowledged (see http://www.share-project.org). The Japanese Study of Aging and Retirement (JSTAR) was conducted by the Research Institute of Economy, Trade and Industry (RIETI), Hitotsubashi University, and the University of Tokyo.
Funding Information:
The authors would like to thank the anonymous referee for the valuable comments. We also would like to thank Eric Bonsang, Gang Chen, Terence Cheng, Denise Doiron, Konan Hara, Tomohiro Hara, Kosuke Hirose, Toshiaki Iizuka, Jose Iparraguirre, Shiko Maruyama, Asako Ohinata for helpful comments. We sincerely thank Stefanie Behncke, Dhaval Dave, and Mathilde Godard for giving advice and computer codes. We also would like to thank the seminar participants at the 8th Australasian Workshop on Econometrics and Health Economics, the 6th Biennial Conference of the American Society of Health Economists and the EuHEA conference 2016 for helpful comments. This work was supported by the JSPS under Grant number 15H05692. We are responsible for all errors and interpretations.
Publisher Copyright:
© 2017 John Wiley & Sons Ltd.
PY - 2018/7
Y1 - 2018/7
N2 - This paper analyzes the reasons for differences in the estimated effect of retirement on health in previous studies. We investigate these differences by focusing on the analysis methods used by these studies. Using various health indexes, numerous researchers have examined the effects of retirement on health. However, there are no unified views on the impact of retirement on various health indexes. Consequently, we show that the choice of analysis method is one of the key factors in explaining why the estimated results of the effect of retirement on health differ. Moreover, we re-estimate the effect of retirement on health by using a fixed analysis method controlling for individual heterogeneity and endogeneity of the retirement behavior. We analyze the effect of retirement on health parameters, such as cognitive function, self-report of health, activities of daily living (ADL), depression, and body mass index in eight countries. We find that the effects of retirement on self-report of health, depression, and ADL are positive in many of these countries.
AB - This paper analyzes the reasons for differences in the estimated effect of retirement on health in previous studies. We investigate these differences by focusing on the analysis methods used by these studies. Using various health indexes, numerous researchers have examined the effects of retirement on health. However, there are no unified views on the impact of retirement on various health indexes. Consequently, we show that the choice of analysis method is one of the key factors in explaining why the estimated results of the effect of retirement on health differ. Moreover, we re-estimate the effect of retirement on health by using a fixed analysis method controlling for individual heterogeneity and endogeneity of the retirement behavior. We analyze the effect of retirement on health parameters, such as cognitive function, self-report of health, activities of daily living (ADL), depression, and body mass index in eight countries. We find that the effects of retirement on self-report of health, depression, and ADL are positive in many of these countries.
KW - Aging
KW - Global aging data
KW - Health
KW - Retirement
UR - http://www.scopus.com/inward/record.url?scp=85021344286&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85021344286&partnerID=8YFLogxK
U2 - 10.1111/joes.12215
DO - 10.1111/joes.12215
M3 - Article
AN - SCOPUS:85021344286
SN - 0950-0804
VL - 32
SP - 792
EP - 847
JO - Journal of Economic Surveys
JF - Journal of Economic Surveys
IS - 3
ER -